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相关概念视频

Psychodynamic Perspectives on Personality01:27

Psychodynamic Perspectives on Personality

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The psychodynamic perspective in psychology asserts that most personality functions operate unconsciously, outside of awareness. This means that the motives and emotions driving behavior often remain hidden, automatically buried in the unconscious mind as a defense mechanism to shield us from psychological distress. According to this theory, the unconscious mind contains thoughts, memories, and emotions that are too disturbing to face directly.
Psychodynamic theorists argue that unconscious...
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Social Cognitive Perspective on Personality01:30

Social Cognitive Perspective on Personality

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Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
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Criticisms of the Evolutionary Perspective01:23

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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
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The Behavioral Perspective on Personality01:19

The Behavioral Perspective on Personality

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Behaviorists view personality as primarily shaped by environmental reinforcements and consequences. According to this perspective, behavior is influenced by external stimuli, and individuals adjust their actions based on rewards and punishments. Over time, learning histories — accumulated patterns of reinforcement — play a significant role in shaping personality. Behaviors that lead to positive outcomes are reinforced, while those resulting in negative outcomes are diminished.
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Changes in Skin Color: Clinical Perspectives01:14

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The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
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Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
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相关实验视频

Updated: Feb 10, 2026

Generation of Three-Dimensional Spheroids/Organoids from Two-Dimensional Cell Cultures Using a Novel Stamp Device
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生成的文化遗产问答数据集:多维视角中的杜尔加

Tri Lathif Mardi Suryanto1,2, Aji Prasetya Wibawa1, Hariyono3

  • 1Department of Electrical Engineering and Informatics, Faculty of Engineering, Universitas Negeri Malang, Jl. Semarang no. 5, Malang 65145, Indonesia.

Data in brief
|February 9, 2026
PubMed
概括

这个数据集提供了来自杜尔加神话文本的21,395对问答. 它有助于人工智能理解文化遗产,并开发文化意识的应用程序.

关键词:
文化遗产 文化遗产 文化遗产数字人文学科 数字人文学科生成性的问答问题.低资源域名 低资源域名在NLP中,我们使用了NLP.

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科学领域:

  • 数字人文学科 数字人文学科
  • 计算语言学 计算语言学
  • 文化遗产研究 文化遗产研究

背景情况:

  • 文化文本,包括圣经和口头传统,包含有关像杜尔加这样的神话的丰富信息.
  • 现有的数字资源往往缺乏结构化,可查询的数据,用于复杂的文化叙述.
  • 将传统知识与计算方法相结合,对于现代研究和应用至关重要.

研究的目的:

  • 策划和呈现一个全面的数据集的问题和答案对从杜尔加神话.
  • 促进人工智能模型的开发,用于文化应用和遗产保护.
  • 支持对文化文本应用自然语言处理 (NLP) 的研究.

主要方法:

  • 由领域专家手动策划和注释文本材料.
  • 来自诸如圣经和碑文等各种来源的21,395个问答对的集合.
  • 预处理包括文本规范化,除重复和准确性验证.

主要成果:

  • 一个由21,395个QA对组成的结构化数据集,与NLP任务兼容.
  • 每个条目都包含源引用,问题和答案,以便进行详细分析.
  • 数据集的格式使其易于集成到AI模型和数字人文项目中.

结论:

  • 杜尔加神话QA数据集是人工智能驱动的文化应用的宝贵资源.
  • 它可以创建文化意识的聊天机器人和教育工具.
  • 本资源支持数字保存和文化遗产的计算研究.